Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1840845.1840905acmconferencesArticle/Chapter ViewAbstractPublication PagesislpedConference Proceedingsconference-collections
research-article

Dynamic thermal management for networked embedded systems under harsh ambient temperature variation

Published: 18 August 2010 Publication History

Abstract

Modern vehicle electronics control units (ECUs) are getting rapidly complicated because of active safety and semi-autonomous driving controls, such as electric stability program (ESP) and adaptive cruise control (ACC). Furthermore, the operational environment of ECUs is extremely harsh, especially in terms of an ambient temperature well exceeding 100°C, which causes a very small temperature headroom. Thus, ECUs require a careful temperature management and high performance at the same time.
This paper introduces a dynamic thermal management (DTM) mechanism for networked embedded systems for vehicle ECUs. We exploit a fact that the ambient temperature of each ECU is different and also variable by the temperature of the associated unit while previous DTM considers a fixed ambient temperature as a given constant. We propose a new DTM that controls the rates of tasks with computation migration through the vehicle-area-network to maximize the minimum rate of tasks, which in turn enhances the quality of control and increases the maximum safe vehicle speed. We found that the ambient temperature of each ECU has different behavior for a particular operating condition, and suggest to use a proactive computation migration. We demonstrate dramatic improvement in die temperature control accuracy and average of 12.25% improvements in overall quality of control over distributed reactive DTM for our example cases.

References

[1]
R. Johnson et al., "The changing automotive environment: high-temperature electronics," IEEE T. on EPM, 2004.
[2]
G. W. D. Vos et al., "Migration of powertrain electronics to on-engine and on-transmission," SAE Int'l Cong. and Expo., 1999.
[3]
G. W. Pautsch, "Spray evaporative cooling system and method," United States Patent Application Publication, 2003. US6646879B2.
[4]
J. J. Purcell et al., "ECU temperature control," United States Patent Application Publication, 2003. US6655326B2.
[5]
H. Hanson et al., "Thermal response to DVFS: analysis with an intel pentium M," in ISLPED, 2007.
[6]
D. Brooks et al., "Dynamic thermal managementfor high-performance microprocessors," in HPCA, 2001.
[7]
K. Skadron et al., "Control-theoretic techniques and thermal-RC modeling for accurate and localized dynamic thermal management," in HPCA, 2002.
[8]
M. Gomaa et al., "Heat-and-run: leveraging SMT and CMP to manage power density through the operating system," SIGPLAN Not., 2004.
[9]
I. Yeo et al., "Predictive dynamic thermal management for multicore systems," in DAC, 2008.
[10]
A. K. Coskun et al., "Proactive temperature balancing for low cost thermal management in MPSoCs," in ICCAD, 2008.
[11]
J.-Y.Bruneletal., "Automotive virtual integration platforms: Why's, what's, and how's," in ICCD, 2002.
[12]
Embedded Microprocessor Benchmark Consortium, "EEMBC's automotive/industrial microprocessor benchmarks," 2004.
[13]
A. Tang et al., "Collision avoidance timing analysis of DSRC-based vehicles," Accident Analysis & Prevention, 2010.
[14]
Freescale Semiconductor, MAC7100 Microcontroller Family Hardware Specifications, 2006.
[15]
C. Lasance, "Two benchmarks to facilitate the study of compact thermal modeling phenomena," IEEE T. on CPT, 2001.
[16]
Analog Devices, EE-319 Estimating Power Dissipation for ADSP-21375 SHARC Processors, Rev 1, 2007.
[17]
Y. Liu et al., "Accurate temperature-dependent integrated circuit leakage power estimation is easy," in DATE, 2007.

Cited By

View all
  • (2020)On Dynamic Thermal Conditions in Mixed-Criticality Systems2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)10.1109/RTAS48715.2020.00009(336-349)Online publication date: Apr-2020
  • (2019)Temperature Sensor Assisted Lifetime Enhancement of Satellite Embedded Systems via Multi-Core Task Mapping and DVFSSensors10.3390/s1922490219:22(4902)Online publication date: 9-Nov-2019
  • (2012)Analytical leakage/temperature-aware power modeling and optimization for a variable speed real-time systemProceedings of the 20th International Conference on Real-Time and Network Systems10.1145/2392987.2392997(81-89)Online publication date: 8-Nov-2012
  • Show More Cited By

Index Terms

  1. Dynamic thermal management for networked embedded systems under harsh ambient temperature variation

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      ISLPED '10: Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
      August 2010
      458 pages
      ISBN:9781450301466
      DOI:10.1145/1840845
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Sponsors

      In-Cooperation

      • IEEE CAS

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 18 August 2010

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. automotive electronics
      2. electronic control unit
      3. embedded system
      4. thermal management

      Qualifiers

      • Research-article

      Conference

      ISLPED'10
      Sponsor:

      Acceptance Rates

      Overall Acceptance Rate 398 of 1,159 submissions, 34%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)4
      • Downloads (Last 6 weeks)2
      Reflects downloads up to 03 Oct 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2020)On Dynamic Thermal Conditions in Mixed-Criticality Systems2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)10.1109/RTAS48715.2020.00009(336-349)Online publication date: Apr-2020
      • (2019)Temperature Sensor Assisted Lifetime Enhancement of Satellite Embedded Systems via Multi-Core Task Mapping and DVFSSensors10.3390/s1922490219:22(4902)Online publication date: 9-Nov-2019
      • (2012)Analytical leakage/temperature-aware power modeling and optimization for a variable speed real-time systemProceedings of the 20th International Conference on Real-Time and Network Systems10.1145/2392987.2392997(81-89)Online publication date: 8-Nov-2012
      • (2012)Power agnostic technique for efficient temperature estimation of multicore embedded systemsProceedings of the 2012 international conference on Compilers, architectures and synthesis for embedded systems10.1145/2380403.2380421(61-70)Online publication date: 7-Oct-2012
      • (2011)Control-Theoretic Dynamic Thermal Management of Automotive Electronics Control UnitsIEEE Journal on Emerging and Selected Topics in Circuits and Systems10.1109/JETCAS.2011.21583421:2(102-108)Online publication date: Jun-2011

      View Options

      Get Access

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media